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Deploying Trading Strategies with a Single Command

2026-03-10

Deploying a trading strategy to production should not require a two-week infrastructure project. Yet at many firms, the path from a working backtest to a live, monitored strategy involves writing Dockerfiles, provisioning servers, configuring networking, setting up monitoring, and stitching together half a dozen services by hand. It is boring, error-prone, and a colossal waste of quant developer time.

LeetDeploy eliminates this overhead. You define your strategy, its dependencies, and its execution parameters in a single YAML manifest. Run `leet deploy` from the command line, and the platform takes care of the rest: building a container image, pushing it to our managed registry, deploying it to a Kubernetes cluster in the region closest to your target exchange, and wiring up logging, metrics, and alerting.

Under the hood, each strategy runs in an isolated namespace with resource limits, network policies, and secrets management handled by the platform. We support canary deployments — route 10% of your capital to the new version while the old version handles the rest — and automatic rollback if the new version breaches a configurable drawdown threshold. The entire deployment lifecycle is driven by a GitOps workflow: every change is version-controlled, auditable, and reversible. Our median deployment time, from git push to live fills, is two minutes and forty seconds.